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DBMS > Google BigQuery vs. Microsoft Azure Synapse Analytics vs. OpenSearch vs. Snowflake

System Properties Comparison Google BigQuery vs. Microsoft Azure Synapse Analytics vs. OpenSearch vs. Snowflake

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenSearch  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score15.65
Rank#38  Overall
#4  Search engines
Score123.20
Rank#9  Overall
#6  Relational DBMS
Websitecloud.google.com/­bigqueryazure.microsoft.com/­services/­synapse-analyticsgithub.com/­opensearch-project
opensearch.org
www.snowflake.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.microsoft.com/­azure/­synapse-analyticsopensearch.org/­docs/­latestdocs.snowflake.net/­manuals/­index.html
DeveloperGoogleMicrosoftAmazon Web ServicesSnowflake Computing Inc.
Initial release2010201620212014
Current release2.5.0, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
Implementation languageC++Java
Server operating systemshostedhostedAll OS with a Java VMhosted
Data schemeyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesyesSQL-like query languageyes
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
CLI Client
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
PHP
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptTransact SQLyesuser defined functions
Triggersnonoyes infoby using the 'percolation' featureno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
Google BigQueryMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenSearchSnowflake
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more
Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
» more
CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google BigQueryMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenSearchSnowflake
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